Framework for Building Smart Tourism Big Data Mining Model for Sustainable Development

Ruoran Xu ()
Additional contact information
Ruoran Xu: School of Event and Economic Management, Shanghai Institute of Tourism, Shanghai 201418, China

Sustainability, 2023, vol. 15, issue 6, 1-16

Abstract: How to combine big data (BD) technology with specific applications in the tourism industry to achieve sustainable development in the tourism industry is a development issue that needs to be addressed in the tourism industry today. In order to promote the development of smart tourism, this text constructed a BD mining model for sustainable smart tourism. In this paper, based on tourism data from 2010 to 2021, a regression model and an exponential curve model are constructed to forecast passenger traffic, and a tourism spatial dimension model is constructed to build a tourism data table, pre-process the data and construct a data mining (DM) model using a SQL Server model. The experimental part of the study conducts experimental research on cities applying smart tourism DM technology in three areas: foreign exchange earnings from the city’s tourism industry, jobs in the tourism industry and the development of tourism-related industries. The results showed that the application of smart tourism DM technology can improve the foreign exchange income (FEI) of urban tourism, increase employment in tourism and drive the development of tourism-related industries. Compared with 2010, the tourism FEI of the four cities would increase by more than 70% in 2021.

Keywords: smart tourism; data mining model; passenger flow forecast; development of tourism industry (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/6/5162/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/6/5162/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:6:p:5162-:d:1097245

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().